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Whole-genome sequencing of phenotypically distinct inflammatory breast cancers reveals similar genomic alterations to non-inflammatory breast cancers.
Li, Xiaotong; Kumar, Sushant; Harmanci, Arif; Li, Shantao; Kitchen, Robert R; Zhang, Yan; Wali, Vikram B; Reddy, Sangeetha M; Woodward, Wendy A; Reuben, James M; Rozowsky, Joel; Hatzis, Christos; Ueno, Naoto T; Krishnamurthy, Savitri; Pusztai, Lajos; Gerstein, Mark.
Afiliação
  • Li X; Program in Computational Biology and Bioinformatics, Yale University, 266 Whitney Ave., Bass 432A, New Haven, CT, 06520, USA.
  • Kumar S; Yale Cancer Center, Breast Medical Oncology, Yale School of Medicine, 300 George Street, Suite 120, Rm133, New Haven, CT, 06511, USA.
  • Harmanci A; Program in Computational Biology and Bioinformatics, Yale University, 266 Whitney Ave., Bass 432A, New Haven, CT, 06520, USA.
  • Li S; Department of Molecular Biophysics and Biochemistry, Yale University, 266 Whitney Ave., Bass 432A, New Haven, CT, 06520, USA.
  • Kitchen RR; Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center Houston, Houston, TX, USA.
  • Zhang Y; Program in Computational Biology and Bioinformatics, Yale University, 266 Whitney Ave., Bass 432A, New Haven, CT, 06520, USA.
  • Wali VB; Program in Computational Biology and Bioinformatics, Yale University, 266 Whitney Ave., Bass 432A, New Haven, CT, 06520, USA.
  • Reddy SM; Department of Molecular Biophysics and Biochemistry, Yale University, 266 Whitney Ave., Bass 432A, New Haven, CT, 06520, USA.
  • Woodward WA; Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Reuben JM; Program in Computational Biology and Bioinformatics, Yale University, 266 Whitney Ave., Bass 432A, New Haven, CT, 06520, USA.
  • Rozowsky J; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA.
  • Hatzis C; The Ohio State University Comprehensive Cancer Center (OSUCCC - James), Columbus, OH, USA.
  • Ueno NT; Yale Cancer Center, Breast Medical Oncology, Yale School of Medicine, 300 George Street, Suite 120, Rm133, New Haven, CT, 06511, USA.
  • Krishnamurthy S; Division of Hematology/Oncology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Pusztai L; Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Gerstein M; Morgan Welch Inflammatory Breast Cancer Research Program and Clinic, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Genome Med ; 13(1): 70, 2021 04 26.
Article em En | MEDLINE | ID: mdl-33902690
BACKGROUND: Inflammatory breast cancer (IBC) has a highly invasive and metastatic phenotype. However, little is known about its genetic drivers. To address this, we report the largest cohort of whole-genome sequencing (WGS) of IBC cases. METHODS: We performed WGS of 20 IBC samples and paired normal blood DNA to identify genomic alterations. For comparison, we used 23 matched non-IBC samples from the Cancer Genome Atlas Program (TCGA). We also validated our findings using WGS data from the International Cancer Genome Consortium (ICGC) and the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. We examined a wide selection of genomic features to search for differences between IBC and conventional breast cancer. These include (i) somatic and germline single-nucleotide variants (SNVs), in both coding and non-coding regions; (ii) the mutational signature and the clonal architecture derived from these SNVs; (iii) copy number and structural variants (CNVs and SVs); and (iv) non-human sequence in the tumors (i.e., exogenous sequences of bacterial origin). RESULTS: Overall, IBC has similar genomic characteristics to non-IBC, including specific alterations, overall mutational load and signature, and tumor heterogeneity. In particular, we observed similar mutation frequencies between IBC and non-IBC, for each gene and most cancer-related pathways. Moreover, we found no exogenous sequences of infectious agents specific to IBC samples. Even though we could not find any strongly statistically distinguishing genomic features between the two groups, we did find some suggestive differences in IBC: (i) The MAST2 gene was more frequently mutated (20% IBC vs. 0% non-IBC). (ii) The TGF ß pathway was more frequently disrupted by germline SNVs (50% vs. 13%). (iii) Different copy number profiles were observed in several genomic regions harboring cancer genes. (iv) Complex SVs were more frequent. (v) The clonal architecture was simpler, suggesting more homogenous tumor-evolutionary lineages. CONCLUSIONS: Whole-genome sequencing of IBC manifests a similar genomic architecture to non-IBC. We found no unique genomic alterations shared in just IBCs; however, subtle genomic differences were observed including germline alterations in TGFß pathway genes and somatic mutations in the MAST2 kinase that could represent potential therapeutic targets.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma Humano / Neoplasias Inflamatórias Mamárias / Sequenciamento Completo do Genoma / Mutação Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma Humano / Neoplasias Inflamatórias Mamárias / Sequenciamento Completo do Genoma / Mutação Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article